Joseph McDermott

2.0k total citations
37 papers, 1.3k citations indexed

About

Joseph McDermott is a scholar working on Molecular Biology, Ecology and Small Animals. According to data from OpenAlex, Joseph McDermott has authored 37 papers receiving a total of 1.3k indexed citations (citations by other indexed papers that have themselves been cited), including 15 papers in Molecular Biology, 6 papers in Ecology and 5 papers in Small Animals. Recurrent topics in Joseph McDermott's work include Wildlife Ecology and Conservation (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Arsenic contamination and mitigation (4 papers). Joseph McDermott is often cited by papers focused on Wildlife Ecology and Conservation (6 papers), Genetics, Aging, and Longevity in Model Organisms (4 papers) and Arsenic contamination and mitigation (4 papers). Joseph McDermott collaborates with scholars based in United States, China and Taiwan. Joseph McDermott's co-authors include Jing‐Dong J. Han, Zijuan Liu, Xian Xia, Quanlong Jiang, Barry P. Rosen, William C. Gause, Terez Shea‐Donohue, Aiping Zhao, Kathleen B. Madden and Karla Au Yeung and has published in prestigious journals such as Proceedings of the National Academy of Sciences, Nature Communications and Journal of Clinical Oncology.

In The Last Decade

Joseph McDermott

35 papers receiving 1.3k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Joseph McDermott United States 20 463 233 226 201 153 37 1.3k
Santokh Gill Canada 22 456 1.0× 146 0.6× 173 0.8× 74 0.4× 121 0.8× 40 1.2k
Olga Pulido Canada 24 570 1.2× 61 0.3× 487 2.2× 105 0.5× 198 1.3× 45 1.8k
Aileen F. Keating United States 24 666 1.4× 157 0.7× 72 0.3× 190 0.9× 125 0.8× 105 2.1k
Joshua F. Robinson United States 27 577 1.2× 451 1.9× 152 0.7× 44 0.2× 97 0.6× 90 1.7k
Peter Sýkora United States 25 1.3k 2.8× 111 0.5× 107 0.5× 221 1.1× 51 0.3× 53 1.9k
Bing Yao China 18 377 0.8× 48 0.2× 120 0.5× 91 0.5× 62 0.4× 68 1.2k
Ning Wu China 20 1.2k 2.7× 92 0.4× 136 0.6× 438 2.2× 83 0.5× 74 2.3k
Sudipta Maitra India 20 391 0.8× 111 0.5× 16 0.1× 253 1.3× 63 0.4× 88 1.9k
Nancy Everds United States 17 314 0.7× 112 0.5× 255 1.1× 118 0.6× 63 0.4× 37 1.5k
Shaun D. Roman Australia 31 1.1k 2.4× 234 1.0× 67 0.3× 104 0.5× 184 1.2× 62 3.1k

Countries citing papers authored by Joseph McDermott

Since Specialization
Citations

This map shows the geographic impact of Joseph McDermott's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Joseph McDermott with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Joseph McDermott more than expected).

Fields of papers citing papers by Joseph McDermott

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Joseph McDermott. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Joseph McDermott. The network helps show where Joseph McDermott may publish in the future.

Co-authorship network of co-authors of Joseph McDermott

This figure shows the co-authorship network connecting the top 25 collaborators of Joseph McDermott. A scholar is included among the top collaborators of Joseph McDermott based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Joseph McDermott. Joseph McDermott is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Williams, Kathleen E., et al.. (2024). Landscape context and behavioral clustering contribute to flexible habitat selection strategies in a large mammal. Mammal Research. 69(3). 329–343.
2.
McDermott, Joseph, et al.. (2023). Multiscale influences on Elk (Cervus canadensis) calving site selection across a fragmented Appalachian landscape. Journal of Mammalogy. 104(6). 1264–1278. 1 indexed citations
3.
McDermott, Joseph, Peter Carr, Neha Biyani, et al.. (2021). A machine learning-based gene signature of response to the novel alkylating agent LP-184 distinguishes its potential tumor indications. BMC Bioinformatics. 22(1). 102–102. 5 indexed citations
4.
Shi, Dawei, Xian Xia, Aoyuan Cui, et al.. (2020). The precursor of PI(3,4,5)P3 alleviates aging by activating daf-18(Pten) and independent of daf-16. Nature Communications. 11(1). 4496–4496. 18 indexed citations
5.
Cao, Yaqiang, Zhaoxiong Chen, Xingwei Chen, et al.. (2019). Accurate loop calling for 3D genomic data with cLoops. Bioinformatics. 36(3). 666–675. 44 indexed citations
6.
Dou, Xiaoyang, Jerome D. Boyd‐Kirkup, Joseph McDermott, et al.. (2019). The strand-biased mitochondrial DNA methylome and its regulation by DNMT3A. Genome Research. 29(10). 1622–1634. 68 indexed citations
7.
McDermott, Joseph, et al.. (2018). Survival and Cause-Specific Mortality of White-tailed Deer in Southeastern Kentucky. Journal of the Southeastern Association of Fish and Wildlife Agencies. 5. 90–96. 3 indexed citations
8.
Cao, Yaqiang, Guoyu Chen, Gang Wu, et al.. (2018). Widespread roles of enhancer-like transposable elements in cell identity and long-range genomic interactions. Genome Research. 29(1). 40–52. 39 indexed citations
9.
Shi, Dawei, Shengbao Suo, Xingwei Chen, et al.. (2018). Accurate Drug Repositioning through Non-tissue-Specific Core Signatures from Cancer Transcriptomes. Cell Reports. 25(2). 523–535.e5. 21 indexed citations
10.
Xia, Xian, Quanlong Jiang, Joseph McDermott, & Jing‐Dong J. Han. (2018). Aging and Alzheimer’s disease: Comparison and associations from molecular to system level. Aging Cell. 17(5). e12802–e12802. 209 indexed citations
11.
Sun, Na, Xiaoming Yu, Denghui Liu, et al.. (2017). Inference of differentiation time for single cell transcriptomes using cell population reference data. Nature Communications. 8(1). 25 indexed citations
12.
McDermott, Joseph, et al.. (2017). Role of AQP9 in transport of monomethyselenic acid and selenite. BioMetals. 30(5). 747–755. 12 indexed citations
13.
Liu, Liu, Joseph McDermott, Jian‐Ren Shen, et al.. (2016). Copper Deficiency in the Lungs of TNF-α Transgenic Mice. Frontiers in Physiology. 7. 234–234. 27 indexed citations
14.
Wu, Jun, Heejin Jun, & Joseph McDermott. (2015). Formation and activation of thermogenic fat. Trends in Genetics. 31(5). 232–238. 31 indexed citations
15.
Duan, Guilan, Ying Hu, Sabine Schneider, et al.. (2015). Inositol transporters AtINT2 and AtINT4 regulate arsenic accumulation in Arabidopsis seeds. Nature Plants. 2(1). 15202–15202. 88 indexed citations
16.
Yoshinaga, Masahiro, Charles Packianathan, Jie Qin, et al.. (2012). Identification of an S-adenosylmethionine (SAM) dependent arsenic methyltransferase in Danio rerio. Toxicology and Applied Pharmacology. 262(2). 185–193. 34 indexed citations
17.
Mosa, Kareem A., Kundan Kumar, Sudesh Chhikara, et al.. (2012). Members of rice plasma membrane intrinsic proteins subfamily are involved in arsenite permeability and tolerance in plants. Transgenic Research. 21(6). 1265–1277. 136 indexed citations
18.
McDermott, Joseph, Barry P. Rosen, & Zijuan Liu. (2010). Jen1p: A High Affinity Selenite Transporter in Yeast. Molecular Biology of the Cell. 21(22). 3934–3941. 66 indexed citations
19.
Jiang, Xuan, Joseph McDermott, Abdul Ajees Abdul Salam, Barry P. Rosen, & Zijuan Liu. (2009). Trivalent arsenicals and glucose use different translocation pathways in mammalian GLUT1. Metallomics. 2(3). 211–219. 38 indexed citations
20.
Zhao, Aiping, Joseph McDermott, Joseph F. Urban, et al.. (2003). Dependence of IL-4, IL-13, and Nematode-Induced Alterations in Murine Small Intestinal Smooth Muscle Contractility on Stat6 and Enteric Nerves. The Journal of Immunology. 171(2). 948–954. 162 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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